Source: lfortran Section: devel Priority: optional Standards-Version: 4.6.2 Maintainer: Alastair McKinstry Build-Depends: debhelper-compat (= 13), cmake, pandoc, libfmt-dev, llvm-16-dev, libjsoncpp-dev, binutils-dev, libiberty-dev, libzstd-dev, libcurl4-gnutls-dev, rapidjson-dev, xeus-dev, xeus-zmq-dev, zlib1g-dev Homepage: https://lfortran.org Vcs-Browser: https://salsa.debian.org/science-team/lfortran.git Vcs-Git: https://salsa.debian.org/science-team/lfortran.git Package: lfortran Architecture: any Provides: fortran-compiler, lfortran-mod-0 Built-Using: ${Built-Using} Depends: ${misc:Depends}, ${shlibs:Depends}, liblfortran-runtime0 ( = ${binary:Version}), clang-16, python3:any | python3-minimal:any, liblfortran-dev ( = ${binary:Version}), Description: Modern interactive LLVM-based Fortran compiler LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile to binaries with the goal to run user’s code on modern architectures such as multi-core CPUs and GPUs. Package: liblfortran-runtime0 Section: libs Architecture: any Multi-Arch: same Depends: ${misc:Depends}, ${shlibs:Depends} Description: Runtime libraries for the lfortran compiler LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile to binaries with the goal to run user’s code on modern architectures such as multi-core CPUs and GPUs. . This provides the lfortran runtime libraries. Package: liblfortran-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, liblfortran-runtime0 (= ${binary:Version}) Description: flang library - Development package. LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile to binaries with the goal to run user’s code on modern architectures such as multi-core CPUs and GPUs. . This provides the static libraries and development files.